Will AI replace Transportation, Storage, and Distribution Managers?
Estimated risk score: 55 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (36 to 74).
For the occupation as a whole, from ratings of its 30 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 11-3071.00 · Management
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 5 of its 30 rated tasks. In O*NET’s words.
- Advise sales and billing departments of transportation charges for customers' accounts.
- Examine invoices and shipping manifests for conformity to tariff and customs regulations.
- Maintain metrics, reports, process documentation, customer service logs, or training or safety records.
- Monitor inventory levels of products or materials in warehouses.
- Develop and document standard and emergency operating procedures for receiving, handling, storing, shipping, or salvaging products or materials.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 2 of its 30 rated tasks. In O*NET’s words.
- Inspect physical conditions of warehouses, vehicle fleets, or equipment and order testing, maintenance, repairs, or replacements.
- Interview, select, and train warehouse and supervisory personnel.
What the job is
Plan, direct, or coordinate transportation, storage, or distribution activities in accordance with organizational policies and applicable government laws or regulations. Includes logistics managers.
Also called: Distribution Center Manager, Logistics Operations Manager, Dockmaster, Wharfinger, ILS Manager, Wharfmaster, Import Manager, Station Master.
Closest jobs we score by hand
In the same field (Management). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate